Multivariate Tweedie lifetimes: the impact of dependence

被引:9
作者
Alai, Daniel H. [1 ]
Landsman, Zinoviy [2 ]
Sherris, Michael [3 ]
机构
[1] Univ Kent, Sch Math Stat & Actuarial Sci, Canterbury, Kent, England
[2] Univ Haifa, Actuarial Res Ctr, Dept Stat, Haifa, Israel
[3] UNSW, CEPAR, UNSW Business Sch Risk & Actuarial Studies, Sydney, NSW, Australia
基金
澳大利亚研究理事会;
关键词
systematic longevity risk; dependence; multivariate Tweedie; lifetime distribution;
D O I
10.1080/03461238.2015.1007891
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
Systematic longevity risk is increasingly relevant for public pension schemes and insurance companies that provide life benefits. In view of this, mortality models should incorporate dependence between lives. However, the independent lifetime assumption is still heavily relied upon in the risk management of life insurance and annuity portfolios. This paper applies a multivariate Tweedie distribution to incorporate dependence, which it induces through a common shock component. Model parameter estimation is developed based on the method of moments and generalized to allow for truncated observations. The estimation procedure is explicitly developed for various important distributions belonging to the Tweedie family, and finally assessed using simulation.
引用
收藏
页码:692 / 712
页数:21
相关论文
共 14 条
[1]   Lifetime dependence modelling using a truncated multivariate gamma distribution [J].
Alai, Daniel H. ;
Landsman, Zinoviy ;
Sherris, Michael .
INSURANCE MATHEMATICS & ECONOMICS, 2013, 52 (03) :542-549
[2]  
[Anonymous], 1994, Scandinavian Actuarial Journal, DOI DOI 10.1080/03461238.1994.10413930
[3]  
[Anonymous], 1992, The Annals of Applied Probability, DOI DOI 10.1214/AOAP/1177005583
[4]  
Cherian K., 1941, J Indian Math Soc, V5, P133
[5]  
Jorgensen B., 1997, THEORY DISPERSION MO
[6]  
Kaas R., 2005, Compound Poisson Distributions And GLMs Tweedies Distribution
[7]  
Klein J, 2003, SURVIVAL ANAL TECHNI
[8]  
Klugman S. A., 2019, Loss models: From data to decisions, V5th
[9]   Tail conditional expectations for exponential dispersion models [J].
Landsman, Z ;
Valdez, EA .
ASTIN BULLETIN, 2005, 35 (01) :189-209
[10]  
Lindgren B., 1993, STAT THEORY